Feature Extraction
sentence-transformers
ONNX
Safetensors
Transformers
xlm-roberta
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use qxx1/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use qxx1/multilingual-e5-large-instruct with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("qxx1/multilingual-e5-large-instruct") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use qxx1/multilingual-e5-large-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="qxx1/multilingual-e5-large-instruct")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("qxx1/multilingual-e5-large-instruct") model = AutoModel.from_pretrained("qxx1/multilingual-e5-large-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from qxx1/multilingual-e5-large-instruct: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/qxx1/multilingual-e5-large-instruct/resolve/main/model.safetensors
- Command line
-
hf download hf://qxx1/multilingual-e5-large-instruct/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/qxx1/multilingual-e5-large-instruct/resolve/main/model.safetensors
1.12 GB
- Xet hash:
- ad68fc6c38949a0aaa8e6c8405924da2e5386a950f0e5574d0f0a5733da5b0ea
- Size of remote file:
- 1.12 GB
- SHA256:
- dd6b6e4f52db0a7aff83a13d10e6c5342ef9f6ab799bad3221f4b35ef390fa85
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